Skip to main content

A simple code analysis tool for Python

Project description

treeline

Treeline Logo

A Python toolkit for analyzing and visualizing code structure, dependencies, and generating directory trees. treeline helps developers understand codebases through ASCII tree representations, interactive dependency graphs, and structural diff visualizations.

Screenshot

Installation

pip install treeline

Usage

As a python module

from treeline import treeline

# Generate and print tree structure
print(treeline("/path/to/directory"))

# Generate tree and save to markdown file
treeline("/path/to/directory", create_md=True)

# Advanced code analysis
from treeline.dependency_analyzer import ModuleDependencyAnalyzer
from treeline.diff_visualizer import DiffVisualizer
from pathlib import Path

# Analyze code dependencies
analyzer = ModuleDependencyAnalyzer()
analyzer.analyze_directory(Path("."))

# Generate interactive visualization
with open("dependencies.html", "w", encoding="utf-8") as f:
    f.write(analyzer.generate_html_visualization())

# Compare code structure between git commits
visualizer = DiffVisualizer()
diff_html = visualizer.generate_structural_diff("HEAD^", "HEAD")
with open("code_diff.html", "w", encoding="utf-8") as f:
    f.write(diff_html)

In terminal

Basic commands

# Show current directory tree
treeline
# Show specific directory tree
treeline /path/to/dir
# Create markdown file + report in html format (tree.md)
treeline -m
# Ignore specific patterns
treeline -i ".pyc,.git"
# Show help message
treeline -h

Visualization Options

# Hide all code structure details
treeline --hide-structure
# Hide function parameters
treeline --no-params

Configuration

.treeline-ignore

the .treeline-ignore will ignore whatever is in the folder.

Place .treeline-ignore in any directory to apply rules to that directory and its subdirectories.

# Ignore all .pyc files
*.pyc

# Ignore specific directories
__pycache__
.git
.venv

# Ignore specific files
config.local.py
secrets.py

Analysis configuration

Create a treeline.config.json to customize analysis settings:

{
  "complexity_threshold": 10,
  "ignore_patterns": [".pyc", ".git"],
  "relationship_types": ["imports", "calls", "contains"],
  "visualization": {
    "layout": "force-directed",
    "theme": "light"
  }
}

Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b branch)
  3. Commit your changes (git commit -m 'cool stuff')
  4. Push to the branch (git push origin branch)
  5. Open a Pull Request

Sources for best practices

  1. https://peps.python.org/
  2. https://peps.python.org/pep-0008/
  3. https://google.github.io/styleguide/pyguide.html

Author

Oha

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

treeline-0.1.0.tar.gz (24.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

treeline-0.1.0-py3-none-any.whl (27.0 kB view details)

Uploaded Python 3

File details

Details for the file treeline-0.1.0.tar.gz.

File metadata

  • Download URL: treeline-0.1.0.tar.gz
  • Upload date:
  • Size: 24.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.9

File hashes

Hashes for treeline-0.1.0.tar.gz
Algorithm Hash digest
SHA256 10f4227452a25ca8fcd6bfb8c34aa2858c58e25167cb0e28cc8010c1d280d6e9
MD5 94d066e62e75dd4ae518314175cf99f3
BLAKE2b-256 6d92e077a5da2fdfc42b543ecec4b31af31d0c888958d14e979637c9ba8e6e5d

See more details on using hashes here.

File details

Details for the file treeline-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: treeline-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 27.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.9

File hashes

Hashes for treeline-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 ea85440090c00279e9c227fd6354bdb1cb22ded6f820cc9efb7fdcbc0835ed8c
MD5 7769cc8d86c346aaf1d95ab832996bbf
BLAKE2b-256 65e8772cdb529f9f62a91b9a37eb4224beaef7511cfc393b43cd6fafb4fd4f8a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page